Vertex AI Quickstart
This guide walks you through setting up a complete Vertex AI development environment, from installing Anaconda to running your first generative AI queries.
Guide Navigation
| Section | Description |
|---|---|
| Environment Setup | Install Anaconda and create a Python environment |
| Workspace Setup | Create project folder and Jupyter Lab |
| Google Cloud Setup | Create service account and download credentials |
| Connect to Vertex AI | Initialize the SDK and authenticate |
| Explore Models | Discover available models and their capabilities |
| Code Examples | Sample code for queries, streaming, chat, and configuration |
| Vertex AI Studio | Use the web-based studio for prototyping |
Quick Overview
Vertex AI is Google Cloud's unified ML platform that brings together:
- Generative AI models (Gemini, PaLM)
- Model training and tuning
- MLOps and deployment
- Enterprise-scale infrastructure
This quickstart focuses on the generative AI capabilities using the Python SDK.
Time Estimate
| Task | Time |
|---|---|
| Environment setup | 15-20 min |
| Google Cloud setup | 10-15 min |
| First API call | 5 min |
| Full guide | 45-60 min |
Start Here
Begin with Environment Setup to install the required tools and create your Python environment.